{"id":"W266793283","doi":"10.9776/13402","title":"Literature Review: How Content Analysis Is Used to Study Human Rights Violations in Political Science?","year":2013,"lang":"en","type":"article","venue":"","topic":"Political Conflict and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Scope (computer science); Human rights; Construct (python library); Politics; Content analysis; Data science; Political science; Measure (data warehouse); Computer science; Sociology; Social science; Data mining; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1406973,0.001039283,0.004218457,0.09504262,0.004081597,0.0171419,0.003169403,0.002780905,0.004286361],"category_scores_gemma":[0.505009,0.001361218,0.002454837,0.1132228,0.008554686,0.02160347,0.004973066,0.002756119,0.001205698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01271457,"about_ca_system_score_gemma":0.0254762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009829034,"about_ca_topic_score_gemma":0.01139766,"domain_scores_codex":[0.8059127,0.1371547,0.0208698,0.00757118,0.02682456,0.001667034],"domain_scores_gemma":[0.2212177,0.6912106,0.02360408,0.01524643,0.04722305,0.001498292],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002018742,0.0001420461,0.03603525,0.1422977,0.003265308,0.0003374024,0.02953473,0.001109934,0.0007631857,0.09205151,0.06101598,0.6332451],"study_design_scores_gemma":[0.0001567577,0.0002868387,0.06142759,0.3820983,0.004070038,0.0007425342,0.07048062,0.002937515,0.001894881,0.1120917,0.363438,0.0003752176],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04516496,0.7133121,0.06295104,0.09237972,0.005546178,0.003127558,0.01190025,0.0004463228,0.06517182],"genre_scores_gemma":[0.429976,0.4384005,0.08841572,0.01915501,0.004446663,0.00901278,0.007834166,0.0004528066,0.002306489],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8593028,"threshold_uncertainty_score":0.7440872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08332187522876162,"score_gpt":0.3871685220089213,"score_spread":0.3038466467801597,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}